Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China
The present paper assesses the impact of improved upland rice technology on farmers' well‐being. The study uses propensity‐score matching to address the problem of ‘self‐selection,’ because technology adoption is not randomly assigned. It applies this procedure to household survey data collected in...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2010
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/166051 |
| _version_ | 1855514423600349184 |
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| author | Wu, Haitao Ding, Shijun Pandey, Sushil Tao, Dayun |
| author_browse | Ding, Shijun Pandey, Sushil Tao, Dayun Wu, Haitao |
| author_facet | Wu, Haitao Ding, Shijun Pandey, Sushil Tao, Dayun |
| author_sort | Wu, Haitao |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The present paper assesses the impact of improved upland rice technology on farmers' well‐being. The study uses propensity‐score matching to address the problem of ‘self‐selection,’ because technology adoption is not randomly assigned. It applies this procedure to household survey data collected in Yunnan, China in 2000, 2002 and 2004. The findings indicate that improved upland rice technology has a robust and positive effect on farmers' well‐being, as measured by income levels and the incidence of poverty. The effect of technology on well‐being shows a diminishing impact on producers' incomes. This implies that newer innovations are continuously needed to replace older technologies that have reached their saturation points. |
| format | Journal Article |
| id | CGSpace166051 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2010 |
| publishDateRange | 2010 |
| publishDateSort | 2010 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1660512025-02-19T14:24:19Z Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China Wu, Haitao Ding, Shijun Pandey, Sushil Tao, Dayun economic impact farmers' income innovation adoption rural areas yunnan china The present paper assesses the impact of improved upland rice technology on farmers' well‐being. The study uses propensity‐score matching to address the problem of ‘self‐selection,’ because technology adoption is not randomly assigned. It applies this procedure to household survey data collected in Yunnan, China in 2000, 2002 and 2004. The findings indicate that improved upland rice technology has a robust and positive effect on farmers' well‐being, as measured by income levels and the incidence of poverty. The effect of technology on well‐being shows a diminishing impact on producers' incomes. This implies that newer innovations are continuously needed to replace older technologies that have reached their saturation points. 2010-06 2024-12-19T12:55:47Z 2024-12-19T12:55:47Z Journal Article https://hdl.handle.net/10568/166051 en Wiley Wu, Haitao; Ding, Shijun; Pandey, Sushil and Tao, Dayun. 2010. Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China. Asian Economic Journal, Volume 24 no. 2 p. 141-160 |
| spellingShingle | economic impact farmers' income innovation adoption rural areas yunnan china Wu, Haitao Ding, Shijun Pandey, Sushil Tao, Dayun Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China |
| title | Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China |
| title_full | Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China |
| title_fullStr | Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China |
| title_full_unstemmed | Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China |
| title_short | Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China |
| title_sort | assessing the impact of agricultural technology adoption on farmers well being using propensity score matching analysis in rural china |
| topic | economic impact farmers' income innovation adoption rural areas yunnan china |
| url | https://hdl.handle.net/10568/166051 |
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